Director of Analytics

About the role

We are looking for a Director of Analytics to lead our healthcare analytics function through a pivotal transformation. This is not a steady-state management role — we are modernizing our client reporting infrastructure from the ground up, and you will own that mandate from vision to delivery.

Responsibilities

• Strategic Leadership: Own the analytics strategy and roadmap — not just maintain it; build it from a clear-eyed assessment of current state and a sharp view of where the function needs to go
• Client Reporting 2.0: audit what exists, design a modern replacement, and deliver an automated, scalable reporting infrastructure that clients trust and CS can stand behind
• Collaborate with senior leadership across Product, Operations, Engineering, Customer Success, and Customer Experience to align analytics initiatives with business priorities
• Serve as a direct partner and analytics representative in client conversations, QBRs, and escalations — alongside CS, not behind them
• Analytics: Oversee end-to-end analysis of claims, member, and benefits data to surface trends, inefficiencies, and opportunities for cost savings or process improvement
• Shift the analytics function from reactive (answering requests) to proactive — surfacing insights that inform product, CS strategy, and executive decision-making before someone has to ask
• Drive AI-informed analytics: leveraging LLMs, RAG architecture, and generative AI tools to deliver smarter, faster insights at scale
• Data Management & Reporting: Direct the development of dashboards, scorecards, and KPIs that monitor performance across the claims lifecycle and client experience
• Team Development: Lead, mentor, and grow a high-performing analytics team with capabilities spanning data science, analytics engineering, reporting, and business intelligence
• Team Development: Set a high bar on delivery accountability — clear roadmaps, defined milestones, and a culture where commitments are kept
• Foster an environment of continuous learning, direct feedback, and intellectual honesty
• Compliance & Risk: Ensure all analytics processes adhere to HIPAA and other regulatory requirements. Identify and mitigate data risks, particularly in claims and member/provider data

Requirements

• Healthcare domain expertise — deep, working knowledge of claims data, member data, payer-provider models, and the regulatory environment (HIPAA, ICD, CPT, HCPCS, HL7, EDI 837); this is required, not preferred
• 10+ years in healthcare analytics with 3+ years in claims processing analytics and 3+ years leading analytics teams
• Proven transformation experience — has modernized or built an analytics function from scratch, not just managed inherited infrastructure
• Technical fluency in the modern data stack — Looker (or equivalent BI platform), SQL, dbt, cloud data warehouse (Snowflake, Databricks, or BigQuery), orchestration tooling (Airflow or equivalent)
• Ai / ML literacy — working familiarity with LLMs, RAG architecture, and generative AI tools (Google Vertex, OpenAI, or equivalent); able to guide the team on applied AI use cases without needing to build models personally
• Client-facing experience — comfortable presenting data to non-technical external audiences, navigating client escalations, and representing analytics in high-stakes conversations
• Startup operating experience — has worked in a fast-moving, high-ambiguity environment; understands that speed, responsiveness, and ownership look different at a startup than at a large enterprise
• People leadership depth — has hired, developed, and when necessary managed out; gives direct feedback and does not let performance issues linger
• Bachelor's degree in a quantitative field (Statistics, Health Informatics, Computer Science, Actuarial Science, or similar); Master's preferred but not required

Preferred Experience

• Value-based care analytics or population health
• Exposure to machine learning models and predictive analytics in a healthcare setting
• Familiarity with data observability tooling (Monte Carlo, Great Expectations, or equivalent)
• Experience with master data management and data architecture at scale